Brain Tumor Segmentation using Multiobjective Fuzzy Clustering
Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2016, Vol 4, Issue 1
Abstract
The segmentation of magnetic resonance images plays a crucial role in medical image analysis because it extracts the required area from the image. Despite intensive research, it still remains a challenging problem and there is a need to develop an appropriate and efficient medical image segmentation method. In this paper, we propose a clustering approach for brain tumor segmentation to diagnose accurately the region of cancer. Applied to magnetic resonance image brain our method provides better identification of brain tumor.
Authors and Affiliations
Olfa Limam
Keywords
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- EP ID EP278361
- DOI 10.14738/tmlai.41.1840
- Views 88
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